SEQUENTIAL CUSTOMIZATION OF TEXT-TO-IMAGE DIFFUSION MODELS OR OTHER MACHINE LEARNING MODELS
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United States of America Patent
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Issued Date -
Sep 19, 2024
app pub date -
Feb 29, 2024
filing date -
Mar 16, 2023
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Abstract
A method includes obtaining input data associated with a new concept to be learned by a trained machine learning model. The method also includes identifying initial weights of the trained machine learning model and one or more previous weight deltas associated with the trained machine learning model. The method further includes identifying one or more additional weight deltas based on the input data and guided by the initial weights and the one or more previous weight deltas. In addition, the method includes integrating the one or more additional weight deltas into the trained machine learning model. The one or more additional weight deltas are integrated into the trained machine learning model by identifying updated weights for the trained machine learning model based on the initial weights, the one or more previous weight deltas, and the one or more additional weight deltas.
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